Recent Advances in Vision and Language PreTrained Models (VL-PTMs)
- vision-and-language
- pretraining
- multimodal-deep-learning
- bert
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Recent Advances in Vision and Language PreTrained Models (VL-PTMs)
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
An autoML framework & toolkit for machine learning on graphs.
Neural question generation using transformers
A lightweight header-only library for using Keras (TensorFlow) models in C++.
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments
A curated list of gradient boosting research papers with implementations.
Scalable, event-driven, deep-learning-friendly backtesting library
allRank is a framework for training learning-to-rank neural models based on PyTorch.
Pretrained model hub for Keras 3.
High level network definitions with pre-trained weights in TensorFlow
Combines the ease of use of scikit-learn with the power of Theano/Lasagne
Gibson Environments: Real-World Perception for Embodied Agents
Tiny YOLO for iOS implemented using CoreML but also using the new MPS graph API.
A uniform interface to run deep learning models from multiple frameworks
Foundation Models for Genomics & Transcriptomics
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
PyTorch to Keras model convertor
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
Papers, code and datasets about deep learning and multi-modal learning for video analysis
Python package for graph neural networks in chemistry and biology
Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning