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Cloudera Fast Forward Labs
- NYC
Stars
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discr…
LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.
(OLD REPO) Line-by-line profiling for Python - Current repo ->
Vim python-mode. PyLint, Rope, Pydoc, breakpoints from box.
Python library to easily log experiments and parallelize hyperparameter search for neural networks
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
Reference implementation of "Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification"
Multi-task learning via Structural Regularization
Visualizations for machine learning datasets
Code for EACL '17 paper "Identifying beneficial task relations for multi-task learning in deep neural networks"
Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
(Deprecated) Hierarchical Attention Networks for Document Classification (https://www.cs.cmu.edu/~diyiy/docs/naacl16.pdf) - in Pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Models, data loaders and abstractions for language processing, powered by PyTorch
Hierarchical Attention Networks for Document Classification in PyTorch
Code for Sluice networks: Learning what to share between loosely related tasks
This repository contains a predictive model developed to provide a patient risk score for the purposes of intelligently allocating rapid response team resources
💫 Industrial-strength Natural Language Processing (NLP) in Python
Text classifier for Hierarchical Attention Networks for Document Classification
An Open Source Machine Learning Framework for Everyone
Convolutional Neural Network for Text Classification in Tensorflow
CNNs for Sentence Classification in PyTorch