abdulfatir

twitter-sentiment-analysis

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

ZipBomb

A simple implementation of ZipBomb in Python

normalizing-flows

Understanding normalizing flows

gan-metrics-pytorch

Metrics for evaluating generative models.

sampling-methods-numpy

This repository contains implementations of some basic sampling methods in numpy.

langevin-monte-carlo

A simple pytorch implementation of Langevin Monte Carlo algorithms.

jcomplexnumber

A library which implements the complex number data type in Java.

planar-flow-pytorch

Pytorch implementation of Planar Flow

REDSDS

Pytorch implementation of RED-SDS (NeurIPS 2021).

MINE-PyTorch

MINE: Mutual Information Neural Estimation in PyTorch

gluon-ts

Probabilistic time series modeling in Python

ICLR2021-OpenReviewData

Crawl & visualize ICLR papers and reviews.

learn-jax

Learning JAX as a PyTorch User

learning2learn-pytorch

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 🚀.

time-series-analysis

Collection of notebooks for time series analysis

timesfm

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

abdulfatir.github.io

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

chronos-forecasting

Chronos: Pretrained Models for Time Series Forecasting

ecosystem-graphs

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

gautam_linux

My personal Linux customization

langchain

⚡ Building applications with LLMs through composability ⚡

mamba

mlx-examples

Examples in the MLX framework

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

uni2ts

Unified Training of Universal Time Series Forecasting Transformers

wgan-gp-billion-words

PyTorch implementation of WGAN-GP for character level language modeling