Transfer Learning methods are primarily responsible for the breakthrough in Natural Learning Processing(NLP) these days. It can give state-of-the-art solutions
Autonomous Vehicles(AV) are changing the future of transportation. Lyft, a ride sharing company, has taken self-driving to another level. They
Ever since Google has publicised Tensorflow, its application in Deep Learning has been increasing tremendously. It is used even more
Dragonfly, an open-source python framework for scalable and robust Bayesian optimization, is developed by researchers from Carnegie Mellon University, Pittsburgh
Once the AI/ML model is built, researchers spend a considerable amount of time to come up with different parameters on
OpenChat is an open-source python framework for chatting. It is based on generative models and capable of talking with AI
Einops, an abbreviation of Einstein-Inspired Notation for operations is an open-source python framework for writing deep learning code in a
This post is in continuation with our previous article about Alchemy, the very first benchmark on meta-Reinforcement Learning. Deepmind with
PyTorch Geometric Temporal is a temporal extension of PyTorch Geometric(PyG) framework, which we have covered in our previous article. This
Released under MIT license, built on PyTorch, PyTorch Geometric(PyG) is a python framework for deep learning on irregular structures like
Transformers is all the attention, we need right now! OpenAI has recently released its text-to-image generation model based on transformers
Facebook AI Research (FAIR) research on meta-learning has majorly classified into two types: First, methods that can learn representation for
Finding a good reward function for optimal policy in reinforcement learning is often challenging, and Inverse Reinforcement Learning(IRL) handles this
In alliance with Deep Mind and the University of Toronto, Google has released DreamerV2, the very first Reinforcement Learning agent
Transformers are known for their long-range interactions with sequential data and are easily adaptable to different tasks, be it Natural
When it comes to Deep Neural Network (DNNs), we are often confused about their architecture(like types of layers, number of
CompilerGym is a python toolkit by Facebook. It is a reinforcement learning package for compiler optimization problems. This framework’s motivation
3D face reconstruction has been widely used for gaming applications. Though in the existing methods, game character customization methods require
Facebook ReAgent, previously known as Horizon is an end-to-end platform for using applied Reinforcement Learning in order to solve industrial
PP-YOLO is a deep learning framework to detect objects. This framework is based on YOLO4 architecture. This method was published
VISSL is a computer VIsion library for state-of-the-art Self-Supervised Learning research. This framework is based on PyTorch. The key idea
Probabilistic Graphical Models(PGM) are a very solid way of representing joint probability distributions on a set of random variables. It
Class Imbalance is quite a known problem in datasets, and Imbalanced Learning is used to handle this problem by learning
Over the years, the image quality produced by GAN models has improved at a tremendous rate but the interpretability and
Training a GAN model often requires a large collection of the annotated dataset(FFHQ dataset, Imagenet Dataset). Making these large-scale datasets
Developing a new drug is a challenging task as it requires to go through a multi-step process. From developing a
Apple has introduced a new method for generating 3D scenes called Equivariant Neural Rendering. This method requires no 3D supervision
Torchmeta is an open-source meta-learning library built on top of Pytorch deep learning framework. The objective of Torchmeta is to
Facebook AI’s PyTorch 3D is a python library to deal with 3D data in deep learning. It is based on
Facebook’s Pytorch had created a huge buzz in the market when it was released five years ago. Now, it is
The event is designed as a working session for builders, practitioners, and enterprise teams engaging