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united states - Downloadable list of all accredited U.S. colleges? - Academia Stack Exchange

academia.stackexchange.com | 1 min read | listed 45 minutes ago in reddit/datasets/Where could I find a dataset of US accredited higher education institutions that also lists their enrollment?

I am looking for a downloadable list of all accredited U.S. colleges. I have found many options to search databases, but I am looking for a downloadable list, preferably in spreadsheet format such ...

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GitHub - metcan/Binary-Convolutional-Neural-Network-Inference-on-GPU: GPU implementation of Xnor network on inference level.

github.com | 1 min read | listed 8 hours ago in reddit/deeplearning/Can you run a quantized model om GPU?

GPU implementation of Xnor network on inference level. - GitHub - metcan/Binary-Convolutional-Neural-Network-Inference-on-GPU: GPU implementation of Xnor network on inference level.

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GitHub - uuudown/SBNN: Singular Binarized Neural Network based on GPU Bit Operations (see our SC-19 paper)

github.com | 4 min read | listed 8 hours ago in reddit/deeplearning/Can you run a quantized model om GPU?

Singular Binarized Neural Network based on GPU Bit Operations (see our SC-19 paper) - GitHub - uuudown/SBNN: Singular Binarized Neural Network based on GPU Bit Operations (see our SC-19 paper)

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GitHub - ptrandpxq/XNOR-popcount-GEMM-PyTorch-CPU-CUDA: The PyTorch implemenation of real XNOR-popcount (1-bit op) GEMM Linear PyTorch extension support both CPU and CUDA

github.com | 2 min read | listed 8 hours ago in reddit/deeplearning/Can you run a quantized model om GPU?

The PyTorch implemenation of real XNOR-popcount (1-bit op) GEMM Linear PyTorch extension support both CPU and CUDA - GitHub - ptrandpxq/XNOR-popcount-GEMM-PyTorch-CPU-CUDA: The PyTorch implemenatio...

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Open source

www.deepmind.com | 1 min read | listed 13 hours ago in reddit/singularity/What interest is there in releasing AGI?

Our pioneering research includes Deep Learning, Reinforcement Learning, Theory & Foundations, Neuroscience, Unsupervised Learning & Generative Models, Control & Robotics, and Safety.

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GitHub - XinshaoAmosWang/DerivativeManipulation: In the context of Deep Learning: What is the right way to conduct example weighting? How do you understand loss functions and so-called theorems on them?

github.com | 6 min read | listed 15 hours ago in reddit/MachineLearning/[Research] Not all our papers get published, therefore it is enjoyable to see our released papers become a true foundation for other works

In the context of Deep Learning: What is the right way to conduct example weighting? How do you understand loss functions and so-called theorems on them? - GitHub - XinshaoAmosWang/DerivativeMani...

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GitHub - XinshaoAmosWang/Improving-Mean-Absolute-Error-against-CCE: Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude’s Variance Matters

github.com | 7 min read | listed 15 hours ago in reddit/MachineLearning/[Research] Not all our papers get published, therefore it is enjoyable to see our released papers become a true foundation for other works

Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude’s Variance Matters - GitHub - XinshaoAmosWang/Improving-Mean-Absolute-Error-against-CCE: Mean Absolute Error Does Not Trea...

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GATE.ac.uk - family/developer.html

gate.ac.uk | 2 min read | listed 18 hours ago in reddit/LanguageTechnology/Project Guidance
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GitHub - WongKinYiu/ScaledYOLOv4 at yolov4-csp

github.com | 3 min read | listed 18 hours ago in reddit/MachineLearning/[P] Oddly thresholded confidence scores on scaled yolov4 csp

Scaled-YOLOv4: Scaling Cross Stage Partial Network - GitHub - WongKinYiu/ScaledYOLOv4 at yolov4-csp

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Part List - Open Wheelchair

openwheelchair.org | 5 min read | listed 20 hours ago in reddit/robotics/Ambicious project and I’m a newbie to robotics
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GitHub - LuChang-CS/news-crawler: A news crawler for BBC News, Reuters and New York Times.

github.com | 1 min read | listed 1 day ago in reddit/datasets/[Request] - Looking for a good historical news dataset. Maybe using Reuters.com?

A news crawler for BBC News, Reuters and New York Times. - GitHub - LuChang-CS/news-crawler: A news crawler for BBC News, Reuters and New York Times.

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GitHub - philipperemy/financial-news-dataset: Reuters and Bloomberg

github.com | 2 min read | listed 1 day ago in reddit/datasets/[Request] - Looking for a good historical news dataset. Maybe using Reuters.com?

Reuters and Bloomberg. Contribute to philipperemy/financial-news-dataset development by creating an account on GitHub.

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Wikibon research paper urges enterprise executive management to embrace real-time analytics - SiliconANGLE

siliconangle.com | 1 min read | listed 1 day ago in SiliconANGLE

Wikibon research paper urges enterprise executive management to embrace real-time analytics - SiliconANGLE

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nvcomp/CHANGELOG.md at main · NVIDIA/nvcomp · GitHub

github.com | 1 min read | listed 1 day ago in NVIDIA Developer Blog | Technical content: For developers, by developers

A library for fast lossless compression/decompression on the GPU - nvcomp/CHANGELOG.md at main · NVIDIA/nvcomp

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GitHub - logpai/loghub: A large collection of system log datasets for log analysis research

github.com | 2 min read | listed 1 day ago in reddit/datasets/Any dataset that could be interesting to analyze using text network analysis?

A large collection of system log datasets for log analysis research - GitHub - logpai/loghub: A large collection of system log datasets for log analysis research

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PyStruct - Structured Learning in Python — pystruct 0.2.4 documentation

pystruct.github.io | 1 min read | listed 1 day ago in reddit/MachineLearning/[P] Implementing CRF-CNN model in python
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keras/inception_v3.py at v2.9.0 · keras-team/keras · GitHub

github.com | 1 min read | listed 1 day ago in reddit/deeplearning/Inception v3 with large images

Deep Learning for humans. Contribute to keras-team/keras development by creating an account on GitHub.

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GitHub - nshepperd/jax-guided-diffusion: jax version of clip guided diffusion scripts

github.com | 1 min read | listed 1 day ago in reddit/artificial/I'm trying out the StarryAI app. Thoughts thus far?

jax version of clip guided diffusion scripts. Contribute to nshepperd/jax-guided-diffusion development by creating an account on GitHub.

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GitHub - netbookai/spawner: Mulit-Cloud infrastructure orchestrator for kubernetes first development.

github.com | 3 min read | listed 1 day ago in reddit/deeplearning/Opensource module for creating Kubernetes Clusters on Cloud in 1 command

Mulit-Cloud infrastructure orchestrator for kubernetes first development. - GitHub - netbookai/spawner: Mulit-Cloud infrastructure orchestrator for kubernetes first development.

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GitHub - aqlaboratory/openfold: Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

github.com | 12 min read | listed 1 day ago in DataScienceWeekly.org — Data Science Weekly - Issue 448

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2 - GitHub - aqlaboratory/openfold: Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

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Advanced Artificial Intelligence API

nlpcloud.com | 5 min read | listed 2 days ago in reddit/LanguageTechnology/Does anyone keep a list of companies offering Large Language Model completion APIs?

Text understanding / text generation (NLP) API, for NER, sentiment analysis, emotion analysis, text classification, summarization, dialogue summarization, question answering, text generation, translation, language detection, grammar and spelling correction, intent classification, paraphrasing and rewriting, code generation, chatbot/conversational AI, blog post generation, product description and ad generation, semantic similarity, Part-Of-Speech tagging, tokenization, lemmatization, and embeddings. Fine-tune and deploy your own AI models. No DevOps required.

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Ghost BatchNorm — MosaicML documentation

docs.mosaicml.com | 3 min read | listed 2 days ago in reddit/MachineLearning/[P] Farewell, CUDA OOM: Automatic Gradient Accumulation

Ghost-batch-normalization-and-alternatives Visualization of different normalization methods, from “A New Look at Ghost Normalization”, cited below. Here\mathbf{F} represents the spatial dimensions ...

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Effective Training Techniques — PyTorch Lightning 1.6.4 documentation

pytorch-lightning.readthedocs.io | 9 min read | listed 2 days ago in reddit/MachineLearning/[P] Farewell, CUDA OOM: Automatic Gradient Accumulation
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GitHub - vanderschaarlab/hyperimpute: A collection of imputation methods

github.com | 4 min read | listed 2 days ago in reddit/MachineLearning/[P] HyperImpute: sklearn-style library for handling missing data using novel algorithms

A collection of imputation methods. Contribute to vanderschaarlab/hyperimpute development by creating an account on GitHub.

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GitHub - blake5634/Models_of_Robot_Manipulation

github.com | 1 min read | listed 2 days ago in reddit/robotics/Robot arm tutorials?

Contribute to blake5634/Models_of_Robot_Manipulation development by creating an account on GitHub.

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