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@NLP-Lab-UWaterloo | IITKGP
- Waterloo, Canada
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08:32
(UTC -04:00) - https://demfier.github.io
Highlights
Stars
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Developer-first error tracking and performance monitoring
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
PyTorch implementations of Generative Adversarial Networks.
An open-source NLP research library, built on PyTorch.
Minimal and clean examples of machine learning algorithms implementations
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activelo…
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
A natural language modeling framework based on PyTorch
A general-purpose encoder-decoder framework for Tensorflow
An autoregressive character-level language model for making more things
A native PyTorch Library for large model training
Starter code for working with the YouTube-8M dataset.
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
A comprehensive reference for all topics related to Natural Language Processing
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to …
Pretty Tensor: Fluent Networks in TensorFlow
Implementation of some deep learning algorithms.
A Meta CLI toolkit : Personal shell command keeper and snippets manager
Language Model GRU with Python and Theano
Implementation of https://srush.github.io/annotated-s4
Python functions for reading kaldi data formats. Useful for rapid prototyping with python.