Wenuka
Experienced machine learning engineer with a Master’s degree in Computer Science from EPFL, Switzerland.
Vevey, Switzerland
Wenuka's Stars
Wenuka/automate-tweets
Send automated tweets each day using Twitter API v2 and Python
AI4Finance-Foundation/FinGPT
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
invoke-ai/InvokeAI
InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.
lutzroeder/netron
Visualizer for neural network, deep learning and machine learning models
dunovank/jupyter-themes
Custom Jupyter Notebook Themes
redis/redis
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
FrancescoSaverioZuppichini/A-journey-into-Convolutional-Neural-Network-visualization-
A journey into Convolutional Neural Network visualization
albumentations-team/albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
JaredLGillespie/LeetCode
Python solutions of LeetCode questions.
ballerina-platform/ballerina-lang
The Ballerina Programming Language
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
ZhengyaoJiang/PGPortfolio
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
anton-jeran/FAST-RIR
This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.
higgsfield-ai/higgsfield
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
Wenuka/mini_deep_learning_framework
A mini deep learning framework using only the basic functions of Torch and with set_grad_enabled(False)
Wenuka/RL_for_energy_tutorial
pandas-dev/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Voyz/ibeam
IBeam is an authentication and maintenance tool used for the Interactive Brokers Client Portal Web API Gateway.
ethereum/ethereum-org-website
Ethereum.org is a primary online resource for the Ethereum community.
fastapi/fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
robinhenry/gym-anm
Design Reinforcement Learning environments that model Active Network Management (ANM) tasks in electricity distribution networks.
facebookresearch/vissl
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
keras-rl/keras-rl
Deep Reinforcement Learning for Keras.
kkahatapitiya/LinearConv
Code for our WACV 2021 paper "Exploiting the Redundancy in Convolutional Filters for Parameter Reduction"
Total-RD/pymgrid
pymgrid is a python library to generate and simulate a large number of microgrids.
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
MushroomRL/mushroom-rl
Python library for Reinforcement Learning.
automl/Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
automl/auto-sklearn
Automated Machine Learning with scikit-learn
vasile/GTFS-viz
Converts a GTFS dataset into a SQLite DB + GeoJSONs / KMLs