xinrongl's Stars
rasbt/LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
apple/ml-stable-diffusion
Stable Diffusion with Core ML on Apple Silicon
sdras/awesome-actions
A curated list of awesome actions to use on GitHub
twitter/the-algorithm-ml
Source code for Twitter's Recommendation Algorithm
recommenders-team/recommenders
Best Practices on Recommendation Systems
bentrevett/pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
zalandoresearch/pytorch-ts
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
amanchadha/coursera-machine-learning-engineering-for-prod-mlops-specialization
Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai
ahkarami/Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
laurent22/joplin
Joplin - the privacy-focused note taking app with sync capabilities for Windows, macOS, Linux, Android and iOS.
py-why/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
spencerbraun/anomaly_transformer_pytorch
PyTorch implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
harrytandata/airflow_course
bryandlee/animegan2-pytorch
PyTorch implementation of AnimeGANv2
yzhao062/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
jagan-mathematics/Tensorflow-Extended-tutorial
MLOps End-to-End pipeline using TFX
cure-lab/LTSF-Linear
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
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
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
janerjzou/image_caption_multi-label_classification
Apply EfficientNet-B4 and Bi-LSTM to classify images based on image information and caption into multiple labels.
Alibaba-MIIL/ASL
Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper
iterative/dvc
🦉 ML Experiments and Data Management with Git
GoogleCloudPlatform/mlops-on-gcp
optuna/optuna
A hyperparameter optimization framework
sktime/pytorch-forecasting
Time series forecasting with PyTorch
GoogleCloudPlatform/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
tang2087/dotnetcore-examples
.NET Core example codes for https://kontext.tech/
kontext-tech/docu
Docu is a ASP.NET Core 2.1 based Content Management Application. It is ported from the Kontext project (http://kontext.tech/docs/ContextProject).
nschloe/matplotx
:bar_chart: More styles and useful extensions for Matplotlib
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.