JustM57

JustM57's Stars

• hiddify/hiddify-next

  Multi-platform auto-proxy client, supporting Sing-box, X-ray, TUIC, Hysteria, Reality, Trojan, SSH etc. It’s an open-source, secure and ad-free.

  Language:Dart15.4k1.4k

• ValdikSS/GoodbyeDPI

  GoodbyeDPI — Deep Packet Inspection circumvention utility (for Windows)

  Language:C22.6k1.6k

• amazon-science/chronos-forecasting

  Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

  Language:Python2.3k266

• etna-team/etna

  ETNA – Time-Series Library

  Language:Python1147

• Scitator/rl-course-experiments

  Language:Jupyter Notebook7723

• rasbt/LLMs-from-scratch

  Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

  Language:Jupyter Notebook25.6k2.8k

• run-llama/llama_index

  LlamaIndex is a data framework for your LLM applications

  Language:Python35.3k5k

• IrinaGoloshchapova/ml_system_design_doc_ru

  29853

• Farama-Foundation/Gymnasium

  An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

  Language:Python6.7k752

• yandexdataschool/Practical_RL

  A course in reinforcement learning in the wild

  Language:Jupyter Notebook5.8k1.7k

• thuml/Time-Series-Library

  A Library for Advanced Deep Time Series Models.

  Language:Python6.2k990

• Nixtla/nixtla

  TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

  Language:Jupyter Notebook2.2k170

• karanpratapsingh/system-design

  Learn how to design systems at scale and prepare for system design interviews

  31.6k3.4k

• Nixtla/hierarchicalforecast

  Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

  Language:Python56869

• Nixtla/statsforecast

  Lightning ⚡️ fast forecasting with statistical and econometric models.

  Language:Python3.8k267

• Nixtla/neuralforecast

  Scalable and user friendly neural :brain: forecasting algorithms.

  Language:Python2.9k333

• meagmohit/EEG-Datasets

  A list of all public EEG-datasets

  2.2k509

• lutzroeder/netron

  Visualizer for neural network, deep learning and machine learning models

  Language:JavaScript27.5k2.7k

• unit8co/darts

  A python library for user-friendly forecasting and anomaly detection on time series.

  Language:Python7.9k854

• zalandoresearch/pytorch-ts

  PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

  Language:Python1.2k191

• facebookresearch/ConvNeXt

  Code release for ConvNeXt model

  Language:Python5.7k691

• ultralytics/yolov5

  YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  Language:Python49.5k16.1k

• rwightman/efficientdet-pytorch

  A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

  Language:Python1.6k291

• pyro-ppl/numpyro

  Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

  Language:Python2.1k231

• bentrevett/pytorch-sentiment-analysis

  Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

  Language:Jupyter Notebook4.3k1.2k

• bentrevett/pytorch-seq2seq

  Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

  Language:Jupyter Notebook5.3k1.3k

• 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

  Language:Python31.4k4.7k

• xmlcalendar/data

  12436

• girafe-ai/natural-language-processing

  Natural Language Processing course for MSAI program

  Language:Jupyter Notebook4934

• pyro-ppl/pyro

  Deep universal probabilistic programming with Python and PyTorch

  Language:Python8.5k982