Deep Learning
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An audio processing toolbox using PyTorch 1D convolutional neural networks for on-the-fly spectrogram generation with trainable kernels.
A lightweight header-only C++ library for running Keras (TensorFlow) models without linking against TensorFlow.
A collection of TensorFlow tutorials and examples covering image classification, GANs, text classification, and model deployment.
A modular Python library for Reinforcement Learning with support for PyTorch, JAX, NVIDIA Warp, and multiple environment interfaces.
A teaching platform providing interactive Jupyter Notebooks for learning computer-aided drug design (CADD) using open-source tools.
A dataflow compiler for quantized neural network inference on FPGAs, generating highly efficient custom accelerators.
A TensorFlow-based educational project for learning seq2seq RNNs through signal forecasting exercises.
A PyTorch framework for efficient 3D semantic and panoptic segmentation using superpoint-based transformer architectures.
Hardware-accelerated, batchable, and differentiable optimization algorithms implemented in JAX for machine learning research.
A comparative Python framework for building, evaluating, and deploying multimodal recommender systems with auxiliary data.
A library of modular computer vision components built on Keras 3, supporting TensorFlow, JAX, and PyTorch backends.
TensorFlow implementation of Neural Turing Machines with LSTM controllers, supporting multiple read/write heads.
A high-performance, portable deep reinforcement learning library for continuous control, optimized for speed across CPUs, GPUs, and microcontrollers.
A framework for semantic and instance segmentation of LiDAR point clouds using range images, designed for autonomous driving applications.
A scalable, event-driven backtesting library for reinforcement learning in algorithmic trading, built on Backtrader with OpenAI Gym API.
A PyTorch framework for training neural learning-to-rank models with flexible loss functions and scoring architectures.
A deep learning-enhanced Kalman filter for accurate vehicle dead reckoning using only an IMU sensor.
A PyTorch-based framework for training and validating models that produce high-quality embeddings for metric learning and retrieval tasks.
A CVPR 2018 algorithm for efficient multi-person pose estimation and tracking in videos, ranking first in the ICCV 2017 PoseTrack challenge.
A benchmarking platform for molecular generation models, providing datasets, implementations, and evaluation metrics for drug discovery research.
A pretrained modeling library for Keras 3 offering simple, flexible, and fast access to models for text, image, and audio tasks.
High-level TensorFlow network definitions with pre-trained weights for easy integration into existing ML workflows.
A modular framework for Torch providing abstractions for datasets, engines, meters, and logs to encourage code re-use.
A TensorFlow implementation of QANet for machine reading comprehension on the SQuAD dataset.
Deep learning inference nodes for ROS/ROS2 with support for NVIDIA Jetson devices and TensorRT.
A flexible Python framework for developing, training, and evaluating conversational AI agents in single or multi-agent environments.
A lightweight TensorFlow library for training and evaluating Generative Adversarial Networks (GANs).
A curated collection of research papers on molecular and material design using generative AI and deep learning techniques.
Combines the ease of use of scikit-learn with the power of Theano/Lasagne
GPU-accelerated audio preprocessing layers for Keras/TensorFlow, enabling real-time audio feature extraction within neural networks.
A virtual environment simulator for training embodied AI agents with real-world perception and physics, featuring domain transfer to real robots.
A uniform interface to run deep learning models from multiple frameworks like TensorFlow, PyTorch, and Keras in C++ and Python.
A Recurrent Neural Network library for Torch7's nn, providing RNN, LSTM, GRU, and other sequence modeling modules.
A strongly-typed Scala API for TensorFlow, providing functionality similar to the official Python API with additional features.
Official JAX implementation of Mip-NeRF, a multiscale neural radiance field model for anti-aliased novel view synthesis.
A Library for Uncertainty Quantification.
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