nithiroj

nithiroj's Stars

• Farama-Foundation/D4RL

  A collection of reference environments for offline reinforcement learning

  Language:Python1.4k294

• philipperemy/keras-attention

  Keras Attention Layer (Luong and Bahdanau scores).

  Language:Python2.8k670

• uzaymacar/attention-mechanisms

  Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

  Language:Python35484

• jax-ml/jax

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

  Language:Python31.8k3k

• wzchen/probability_cheatsheet

  A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

  Language:TeX3.1k696

• divamgupta/deep-clustering-kingdra

  Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning

  Language:Python4814

• PerceptiLabs/CodeExamples

  We have put together some examples of different well known machine learning algorithms. This is to make it easier to understand how it looks like when working with machine learning in code. Happy hacking!

  Language:Python648

• delip/PyTorchNLPBook

  Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L

  Language:Jupyter Notebook2k810

• pbloem/former

  Simple transformer implementation from scratch in pytorch. (archival, latest version on codeberg)

  Language:Python1.1k171

• NVIDIA/apex

  A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

  Language:Python8.6k1.4k

• kcyu2014/recurrent-unet

  ICCV 2019: Recurrent U-Net for Resource Constraint Segmentation

  Language:Python459

• aws-samples/amazon-sagemaker-endpoint-deployment-of-fastai-model-with-torchserve

  Deploy FastAI Trained PyTorch Model in TorchServe and Host in Amazon SageMaker Inference Endpoint

  Language:Jupyter Notebook749

• google-research/seed_rl

  SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

  Language:Python806147

• muellerzr/Practical-Deep-Learning-for-Coders-2.0

  Notebooks for the "A walk with fastai2" Study Group and Lecture Series

  Language:Jupyter Notebook746166

• mertensu/transformer-tutorial

  Visualising the Transformer encoder

  Language:Jupyter Notebook11111

• arrival-ltd/catalyst-rl-tutorial

  Using Catalyst.RL to train a robot to perform peg-in-hole insertion in simulation.

  Language:Python16614

• princeton-vl/RAFT

  Language:Python3.5k643

• karpathy/minGPT

  A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

  Language:Python21.7k2.8k

• qubvel/segmentation_models

  Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

  Language:Python4.8k1k

• open-mmlab/mmselfsup

  OpenMMLab Self-Supervised Learning Toolbox and Benchmark

  Language:Python3.2k435

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX23k2.9k

• Project-OSRM/osrm-backend

  Open Source Routing Machine - C++ backend

  Language:C++6.7k3.5k

• gboeing/ppde642

  USC urban data science course series in Python

  Language:Jupyter Notebook1.3k488

• waddell/urban-informatics-and-visualization

  Urban Informatics and Visualization (UC Berkeley CP255)

  Language:Jupyter Notebook228117

• gboeing/osmnx-examples

  Gallery of OSMnx tutorials, usage examples, and feature demonstations.

  Language:Jupyter Notebook1.6k533

• switchablenorms/DeepFashion_Try_On

  Official code for "Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content"，CVPR‘20 https://arxiv.org/abs/2003.05863

  Language:Python855252

• facebookresearch/pytorch3d

  PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

  Language:Python9.1k1.4k

• vahidk/EffectivePyTorch

  PyTorch tutorials and best practices.

  1.7k170

• Lightning-AI/pytorch-lightning

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

  Language:Python29.2k3.5k

• Machine-Learning-Tokyo/CNN-Architectures

  Language:HTML504150