bitcurian's Stars
vye16/shape-of-motion
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
asaran/VeSSAL
This repository contains code used to conduct experiments reported in the paper "Streaming Active Learning with Deep Neural Networks" accepted at ICML 2023.
JordanAsh/badge
An implementation of the BADGE batch active learning algorithm.
ej0cl6/deep-active-learning
Deep Active Learning
hendrycks/natural-adv-examples
A Harder ImageNet Test Set (CVPR 2021)
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
openai/consistency_models
Official repo for consistency models.
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
antimatter15/alpaca.cpp
Locally run an Instruction-Tuned Chat-Style LLM
nebuly-ai/optimate
A collection of libraries to optimise AI model performances
awslabs/ec2-spot-labs
Collection of tools and code examples to demonstrate best practices in using Amazon EC2 Spot Instances.
cypw/DPNs
Dual Path Networks
wjmaddox/swa_gaussian
Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"
JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
facebookresearch/pycls
Codebase for Image Classification Research, written in PyTorch.
IntelLabs/distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
google/googletest
GoogleTest - Google Testing and Mocking Framework
zygmuntz/hyperband
Tuning hyperparams fast with Hyperband
iterative/dvc
🦉 ML Experiments and Data Management with Git
huggingface/knockknock
🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
LiyuanLucasLiu/RAdam
On the Variance of the Adaptive Learning Rate and Beyond
kakaobrain/fast-autoaugment
Official Implementation of 'Fast AutoAugment' in PyTorch.
microsoft/BlingFire
A lightning fast Finite State machine and REgular expression manipulation library.
StreisandEffect/streisand
Streisand sets up a new server running your choice of WireGuard, OpenConnect, OpenSSH, OpenVPN, Shadowsocks, sslh, Stunnel, or a Tor bridge. It also generates custom instructions for all of these services. At the end of the run you are given an HTML file with instructions that can be shared with friends, family members, and fellow activists.
enyac-group/single-path-nas
Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours
heykeetae/Self-Attention-GAN
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)
cleardusk/3DDFA
The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.
namisan/mt-dnn
Multi-Task Deep Neural Networks for Natural Language Understanding