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OmniNet
Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman HussainInfinite-Runner-Ultimate
A cross-platform procedural environment generation and Endless Runner engine. Features real-time object pooling and includes an interactive level editor.Audio-Feature-Extraction-using-Librosa
A notebook analyzing different content based features in an audio file.Sequence-to-Sequence-and-Attention-from-scratch-using-Tensorflow
Sequence to Sequence and attention from scratch using Tensorflowpytorch2jax
Pytorch2Jax is a small Python library that provides functions that wraps PyTorch models into Jax functions and Flax modules.Recurrent-Linear-Transformers
Implementation of Recurrent Linear Transformers in Jax+Flax.Recurrent-PPO-Jax
Implementation of Proximal Policy Optimization in Jax+FlaxMalware-detection-using-Convolutional-Neural-Networks
Housing-Prices-Prediction-using-various-Regression-Models
Unsupervised-Audio-Clustering
This notebook will try various unsupervised approaches to audio clustering to identify whether it can find a suitable cluster.Mouse-Dynamics-Analysis
Analysis of the mouse movements dataset from Balabit https://github.com/balabit/Mouse-Dynamics-ChallengeXGBoost-Hyperparameter-tuning
CloneDir
A tool to clone a directory locally or cloud. Features super fast sync of files...Practical-Guide-to-RL-Experiments
Netra
Netra is wearable device that helps visually impaired people navigate by providing speech descriptions of the world around them.Neural-Networks-for-Machine-Learning-Programming-Assignments
Programming Assignment solutions for Coursera Course, Neural Networks for Machine Learning by Geoffrey Hinton. https://www.coursera.org/learn/neural-networks/home/welcomeAudioFeat
AudioFeat is a multi-threaded audio feature extraction script to extract audio features from a folder of audio files and save them in a csvGeneral-Value-Function-Networks-Jax
Implements General Value Function Networks proposed in https://arxiv.org/abs/1807.06763 using JAX.Love Open Source and this site? Check out how you can help us