Pinned Repositories
normalizing-flows
Understanding normalizing flows
prototypical-networks-tensorflow
Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
REDSDS
Pytorch implementation of RED-SDS (NeurIPS 2021).
twitter-sentiment-analysis
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
ZipBomb
A simple implementation of ZipBomb in Python
chronos-forecasting
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
unconditional-time-series-diffusion
Official PyTorch implementation of TSDiff models presented in the NeurIPS 2023 paper "Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting"
gluonts
Probabilistic time series modeling in Python
DGflow
Pytorch implementation of DGflow (ICLR 2021).
NCDSSM
PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series".
abdulfatir's Repositories
abdulfatir/twitter-sentiment-analysis
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
abdulfatir/ZipBomb
A simple implementation of ZipBomb in Python
abdulfatir/normalizing-flows
Understanding normalizing flows
abdulfatir/gan-metrics-pytorch
Metrics for evaluating generative models.
abdulfatir/sampling-methods-numpy
This repository contains implementations of some basic sampling methods in numpy.
abdulfatir/langevin-monte-carlo
A simple pytorch implementation of Langevin Monte Carlo algorithms.
abdulfatir/jcomplexnumber
A library which implements the complex number data type in Java.
abdulfatir/REDSDS
Pytorch implementation of RED-SDS (NeurIPS 2021).
abdulfatir/planar-flow-pytorch
Pytorch implementation of Planar Flow
abdulfatir/ICLR2021-OpenReviewData
Crawl & visualize ICLR papers and reviews.
abdulfatir/learn-jax
Learning JAX as a PyTorch User
abdulfatir/gluon-ts
Probabilistic time series modeling in Python
abdulfatir/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 🚀.
abdulfatir/time-series-analysis
Collection of notebooks for time series analysis
abdulfatir/timesfm
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
abdulfatir/abdulfatir.github.io
abdulfatir/al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
abdulfatir/autogluon
Fast and Accurate ML in 3 Lines of Code
abdulfatir/chronos-forecasting
Chronos: Pretrained Models for Time Series Forecasting
abdulfatir/ecosystem-graphs
abdulfatir/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
abdulfatir/gautam_linux
My personal Linux customization
abdulfatir/langchain
⚡ Building applications with LLMs through composability ⚡
abdulfatir/mamba
abdulfatir/mlx-examples
Examples in the MLX framework
abdulfatir/neurips-time-series-workshop.github.io
abdulfatir/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
abdulfatir/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
abdulfatir/uni2ts
Unified Training of Universal Time Series Forecasting Transformers
abdulfatir/wgan-gp-billion-words
PyTorch implementation of WGAN-GP for character level language modeling