ML Study
Search
Ctrl K
ML Study
Search
Ctrl K
finance
capex
ebitda
opex
rule of 40
JS
promise
ML
Gen Model
3D Gaussian Splatting
Auto Encoder
Auto Regressive Model
classifier-free guidance
ControlNet
ConvTranspose
Density estimation
Diffusion
GAN
Generative Model
Latent Variable Model
SDXL
stable diffusion
Untitled
VAE
general
batch normalization
Data Augmentation
hyper connection
Layer Normalization
LoRA
loss
mlp
relu
reparametrization trick
residual block
self-attention
skip connection
softmax
Transformer
LLM
context
Membox
context window
continual learning
Grokking
nested learning
Persona Axis
ROME
RL
actor-critic
advantage
bellman equation
DAgger
double q-learning
dyna
episode
Exploration
MBPO
mHC
model-based rl
model-free rl
monte carlo
off-policy
offline
on-policy
policy gradient
Policy Improvement Theorem
policy
PPO-KLD
Q-function
Q-learning
REINFORCE
replay buffer
reward
rl-math
RL
value function
segmentation
DICE
segmentation
u-net
theory
Equivariance
Inductive bias
Invariance
Local minimum 문제가 적은 이유
manifold hypothesis
Out-Of-Distribution
Permutation Symmetry
sparse
train
natural gradient
vision
CNN
swin transformer
ViT
경량화
pruning
quantization
structured pruning
unstructured pruning
경량화
4D Gaussian Splatting
attention
BNN
Continuous Symmetry
Cross Entropy Loss
Gradient Descent
L2-Regression
Linear Attention
Linear Regression
ML study
multi head attention
Nerf
Positional encoding
RNN
Supervised Learning
Unsupervised Learning
Variational Inference
Python
event loop
GIL
Python
pytorch
subprocess handle
thread
with
yield
제너레이터
개발
cdn
cuda
daemon
Docker
egress
gymnasium
ingress
Intermediate Representation
k8s
onnx
Tailwind breakpoint
workbench
WSL
yaml
컨테이너
기초 cs
c++
c
call stack
FFT
heap
hexadicimal
pointer
stack
VM
수학
선형대수
doubly stochastic matrix
Eigenbasis
eigenvalue
Eigenvector
linear subspace
orthogonal matrix
projection matrix
Rank-One matrix
sinkhorn-knopp argorithm
Spectral Decomposition
subspace coding
SVD
해석학
manifold
smooth
stiefel manifold
convex
fisher
fourier transform
inverse fourier transform
ODE
SDE
정보 이론
Cross Entropy
Entropy
KL-Divergence
Mutual Information
정보량
하드웨어
Kernel
namespace
TPU
드라이버
확률-통계
Bayesian
covariance
Gaussian Distribution
log likelihood
MAP
MLE
MSE
확률변수
Select a result to preview
hexadicimal
16진수로, 일반적으로 메모리 주소를 16진수로 표기. 앞에 0x 붙여서 16진수임을 나타냄.