davidjin1214

davidjin1214

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Python

All Algorithms implemented in Python

Language:PythonLicense:MITStargazers:191599Issues:5936Issues:1510

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

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jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

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mmdetection

OpenMMLab Detection Toolbox and Benchmark

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pytorch-lightning

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

Language:PythonLicense:Apache-2.0Stargazers:28189Issues:251Issues:7095

pytorch_geometric

Graph Neural Network Library for PyTorch

Language:PythonLicense:MITStargazers:21151Issues:252Issues:3534

CopyTranslator

Foreign language reading and translation assistant based on copy and translate.

Language:TypeScriptLicense:GPL-2.0Stargazers:17141Issues:413Issues:520

vision

Datasets, Transforms and Models specific to Computer Vision

Language:PythonLicense:BSD-3-ClauseStargazers:16111Issues:434Issues:3252

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

Language:PythonLicense:Apache-2.0Stargazers:9944Issues:269Issues:68

python-small-examples

告别枯燥,致力于打造 Python 实用小例子,更多Python良心教程见 https://ai-jupyter.com

cheatsheets

Official Matplotlib cheat sheets

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SciencePlots

Matplotlib styles for scientific plotting

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nanodet

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

Language:PythonLicense:Apache-2.0Stargazers:5716Issues:67Issues:462

handcalcs

Python library for converting Python calculations into rendered latex.

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cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Language:PythonLicense:NOASSERTIONStargazers:5478Issues:36Issues:182

scikit-opt

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

Language:PythonLicense:MITStargazers:5236Issues:46Issues:178

Yet-Another-EfficientDet-Pytorch

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

Language:Jupyter NotebookLicense:LGPL-3.0Stargazers:5200Issues:108Issues:716

mmpretrain

OpenMMLab Pre-training Toolbox and Benchmark

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mmselfsup

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

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PettingZoo

An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

Language:PythonLicense:NOASSERTIONStargazers:2592Issues:18Issues:373

scikit-plot

An intuitive library to add plotting functionality to scikit-learn objects.

Language:PythonLicense:MITStargazers:2427Issues:65Issues:61

lightning-bolts

Toolbox of models, callbacks, and datasets for AI/ML researchers.

Language:PythonLicense:Apache-2.0Stargazers:1686Issues:23Issues:361

dlbook_notation

LaTeX files for the Deep Learning book notation

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:1244Issues:38Issues:27

machin

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

Language:PythonLicense:MITStargazers:397Issues:4Issues:18

python_plot_utils

A simple code for plotting figure, colorbar, and cropping with python

scope-rl

SCOPE-RL: A python library for offline reinforcement learning, off-policy evaluation, and selection

Language:PythonLicense:Apache-2.0Stargazers:109Issues:5Issues:9

tangjianpku.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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