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Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020
Benchmark tests supporting the TiledCUDA library.
For optimization algorithm research and development.
Code for the manim-generated scenes used in 3blue1brown videos
prime is a framework for efficient, globally distributed training of AI models over the internet.
Best practices & guides on how to write distributed pytorch training code
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.
TiledCUDA is a highly efficient kernel template library designed to elevate CUDA C’s level of abstraction for processing tiles.
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
A curated list of awesome prompt/adapter learning methods for vision-language models like CLIP.
Composable building blocks to build Llama Apps
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Contains the code for the paper "MapInWild: A Remote Sensing Dataset to Answer the Question What Makes Nature Wild"
[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
[ECCV 2024] Official PyTorch implementation of RoPE-ViT "Rotary Position Embedding for Vision Transformer"
This repository contains demos I made with the Transformers library by HuggingFace.
Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"
A web browser that plays old world blues to build new world hope