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About 👨🏻‍💻

  • ✍️ Author of 📖 Deep Learning with Swift for TensorFlow (2021) book. Available on  Books / Amazon / Apress.
  •  iOS Developer using SwiftUI / CoreML / etc.
  •  M-Series Macs Fanboy
  • 🧠 Interested in generative modeling, computer vision, natural language processing, and music / speech processing deep learning algorithms.
  • 👨🏻‍💻 Favorite languages are 𝛁Swift and Python 🐍.
  • 📫

rahulbhalley's Projects

3ddfa_v2 icon 3ddfa_v2

The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.

crypten icon crypten

A framework for Privacy Preserving Machine Learning

cuda-swift icon cuda-swift

Parallel Computing Library for Linux and macOS & NVIDIA CUDA Wrapper

customtoggle icon customtoggle

This library shows custom toggle animations written with SwiftUI

cyclegan-qp icon cyclegan-qp

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

diffusers icon diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

dis icon dis

This is the repo for our new project Highly Accurate Dichotomous Image Segmentation

flow-python icon flow-python

Flow Python package 📦 for client interface. [Link might be dead now]

gan-qp.pytorch icon gan-qp.pytorch

Unofficial PyTorch implementation of "GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint"

heysiri-macos icon heysiri-macos

The missing piece for Siri on macOS Sierra: The ability to launch Siri by saying "Hey Siri"!

matrix-eigenvectors icon matrix-eigenvectors

Calculates eigenvectors & eigenvalues from scratch, and as a case study decomposes an image into its principal components.

minigpt-4 icon minigpt-4

MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models

mmdnn icon mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

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